Mid-level Data Engineer with Azure Exp (Onsite)

DMS Vision • Frisco, AL

7h • Onsite

About The Position

The Data Engineer will develop and implement data solutions using the Azure stack, including T-SQL, Azure Data Factory (ADF), PySpark, Lakehouse, data warehousing, and Azure Machine Learning in a Microsoft Fabric environment. The role involves working with ETL processes and tools such as ADF, PySpark, OneLake, Databricks, and current Microsoft Fabric features. Secondary technologies include Cosmos, Scope, Kusto, and KQL.

The engineer will coordinate with cross-functional teams and an offshore team to support cohesive data strategies and solutions, explain technical concepts to non-technical stakeholders, and ensure data security, accuracy, consistency, and compliance with relevant regulations and industry standards. The position is onsite in Redmond, Washington, with relocation accepted, and is listed as a six-month duration.

Requirements

• Proven experience as an Azure Data Engineer or in a similar role, with a strong portfolio of successfully implemented data solutions.
• In-depth knowledge of ETL processes involving ADF, PySpark, OneLake, Databricks, and Microsoft Fabric features.
• Knowledge of the Azure stack, including T-SQL, ADF, PySpark, Lakehouse, data warehousing, and Azure Machine Learning in an Azure Fabric environment.
• Secondary skills in Cosmos, Scope, Kusto, or KQL.
• Ability to articulate data understanding through data modeling, DAX, and Power BI reports.
• Meticulous attention to detail to ensure data security, accuracy, and consistency.
• Excellent verbal and written communication skills, including the ability to explain technical concepts to non-technical stakeholders.
• Good teamwork and willingness to coordinate with an offshore team.
• Bachelor's or master's degree in Computer Science, Information Technology, or a related field.

Nice To Haves

• Financial domain knowledge.

Responsibilities

• Implement data solutions using the Azure stack and Microsoft Fabric environment.
• Work with ETL processes and tools including ADF, PySpark, OneLake, and Databricks.
• Coordinate with cross-functional teams and the offshore team to support cohesive data strategies and solutions.
• Communicate technical concepts clearly to non-technical stakeholders.
• Ensure data security, accuracy, and consistency.
• Ensure data architecture and management practices comply with relevant regulatory requirements and industry standards.
• Articulate data understanding through data modeling, DAX, and Power BI reports.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level